SKILLEMALL.ai

BF skill-function-test

技能场景测试套件 —— 备份 → 蓝皮书 → 配置确认 → S1-S3场景测试 → D1-D6功能测试 → S4执行忠实度 → 修复 → bump → 双格式报告 → 结论写入test-report.md。配置驱动流程,钩子强制阻断。

ClawHub Agent Skills author: Lighthexuish v1.16.1 MIT-0 30 files body ≈ 2 022 tokens Open the sourceclawhub.ai analyzed 2 d ago

技能场景测试套件 —— 备份 → 蓝皮书 → 配置确认 → S1-S3场景测试 → D1-D6功能测试 → S4执行忠实度 → 修复 → bump → 双格式报告 → 结论写入test-report.md。配置驱动流程,钩子强制阻断。

As a process F 33/100 · Will not run — References files that are not bundled: references/*.md

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/*.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 30. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/*.md
  • note frontmatter-key unknown frontmatter key "data_dir"
  • note frontmatter-key unknown frontmatter key "external_data_dir"
  • note frontmatter-key unknown frontmatter key "sensitive_access"
  • note frontmatter-key unknown frontmatter key "critical_write"
  • note frontmatter-key unknown frontmatter key "permission_weight"
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "trigger_negative"
  • note frontmatter-key unknown frontmatter key "h1_position"
  • note frontmatter-key unknown frontmatter key "meta_field_sync"
  • note frontmatter-key unknown frontmatter key "faq_unparsable"
  • note frontmatter-key unknown frontmatter key "faq_quality"
  • note frontmatter-key unknown frontmatter key "create_permissions_md"
  • note frontmatter-key unknown frontmatter key "trigger_quality"
  • note frontmatter-key unknown frontmatter key "data_dir_compliance"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2022 tokens
  • low The response is described with custom markup (5 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 117: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 13 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (12 of 12)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This skill is a testing suite, but it can execute and modify target skills and includes under-disclosed ways to generate misleading reports.
LLM: suspicious (high) · VirusTotal: · 25 Jun 2026